code: def runTest(self):
      image = self.images_path + "chihuahua.jpg"
  
      annotations_result = self.pipeline.fullAnnotate(image)
  
      self.assertEqual(len(annotations_result), 1)
      for result in annotations_result:
          self.assertTrue(len(result) > 0)
  
      images = [
          self.images_path + "chihuahua.jpg",
          self.images_path + "egyptian_cat.jpeg",
      ]
  
      annotations_result = self.pipeline.fullAnnotate(images)
  
      self.assertEqual(len(annotations_result), len(images))
      for result in annotations_result:
          self.assertTrue(len(result) > 0)
  
imports: import os
  import unittest
  import pytest
  from sparknlp.pretrained import PretrainedPipeline
label_desc: Use image node_id 2 for calling the PretrainedPipelineImageInputTest obj's underlying member method code with example usage: obj.runTest() without return types